Literature DB >> 26248338

Prognostic Nomogram for Patients with Nasopharyngeal Carcinoma after Intensity-Modulated Radiotherapy.

Shixiu Wu1, Bing Xia2, Fei Han3, Ruifei Xie2, Tao Song4, Lixia Lu3, Wei Yu4, Xiaowu Deng3, Qiancheng He4, Cong Zhao3, Conghua Xie5.   

Abstract

This study was aimed to define possible predictors of overall survival in nasopharyngeal carcinoma (NPC). Patients were treated with intensity-modulated radiation therapy (IMRT), to establish an effective prognostic nomogram that could provide individualized predictions of treatment outcome in this setting. We reviewed the records of 533 patients with non-metastatic NPC who underwent IMRT with or without concurrent chemotherapy at the Department of Radiation Oncology of Sun Yat-Sen University from 2002 to 2009; none of these patients received induction or adjuvant chemotherapy. These data sets were used to construct a nomogram based on Cox regression. Nomogram performance was determined via a concordance index (C-index) and a calibration curve which was compared with the TNM staging system for NPC. The results were validated in an external cohort of 442 patients from the Department of Radiation Oncology of Wenzhou Medical College who were treated during the same period. Results showed that the greatest influence on survival were primary gross tumor volume, age, tumor stage and nodal stage (2002 Union for International Cancer Control [UICC] staging system), which were selected into the nomogram. The C-index of the nomogram for predicting survival was 0.748 (95%CI, 0.704-0.785), which was statistically higher than that of TNM staging system (0.684, P<0.001). The calibration curve exhibited agreement between nomogram-predicted and the actual observed probabilities for overall survival. In the validation cohort, the nomogram discrimination was superior to the TNM staging system (C-index: 0.768 vs 0.721; P = 0.026). In conclusion, the nomogram proposed in this study resulted in more-accurate prognostic prediction for patients with NPC after IMRT and compared favorably to the TNM staging system; this individualized information will aid in patient counseling and may be used for de-escalation trials in the future.

Entities:  

Mesh:

Year:  2015        PMID: 26248338      PMCID: PMC4527710          DOI: 10.1371/journal.pone.0134491

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Nasopharyngeal carcinoma (NPC) is a leading cancer in Southeast Asia, the Arctic and the Middle East/North Africa although it is uncommon worldwide. Globally, NPC resulted in 65,000 deaths in 2010, an increase from 45,000 in 1990[1]. Radiationtherapy (RT) has been the mainstay of curative treatment for NPC for decades. Currently, Intensity-Modulated Radiotherapy (IMRT) is the preferred standard of care in non-metastatic NPC, which significantly improves coverage of the target tumor and spares normal structures, leading to increased local-regional control and reduced RT-related sequelae[2-6].With IMRT, 3-year local and regional control rates which exceed 90% have been documented; However, distant metastases (DM) have become the main treatment failure, with 3-year DM rates of 20%-34% [2,4,7-11]. Although the addition of induction or adjuvant chemotherapy in NPC is a reasonable option for patients at high risk for developing DM, the survival benefits are unclear. Considerable toxicities related to concurrent chemoradiotherapy potentially reduce patient’s tolerability, leading to a compromised systemic therapy, which should be considered as a confusing factor. Meanwhile, administration of systemic therapy in a poorly selected population easily leads to negative results of trials [12-15]. Accurate prognostic models for individualized predictions will be propitious to identify and stratify patients for receiving systemic chemotherapy on or off a clinical trial in NPC. The Union for International Cancer Control (UICC) TMN staging provides useful estimates for recurrence risk and survival outcomes, significant variation within each prognostic group has been observed. Variation due to the heterogeneity of tumor biology and patient characteristics, indicate that more relevant variables should be integrated to improve the estimates of patient outcomes. The currently used staging system was mainly derived from the data based on two-dimensional radiation techniques therefore its suitability for patients treated with IMRT remains unclear. There are many studies in which nomogram has been developed and been demonstrated as a useful tool for providing prognostic information in various cancer types [16-21].The purpose of this study was to define possible predictors of overall survival in NPC patients treated with IMRT, and to establish an effective prognostic nomogram which could provide an individualized prediction for the treatment outcome. In order to reduce the impact of systemic chemotherapy heterogeneity on the outcome, only those with concurrent chemotherapy of cisplatin alone were included in this study.

Methods

Study Population

This retrospective study was conducted in patients treated with IMRT between September 2002 and December 2009 at two NPC-endemic areas in China (Department of Radiation Oncology, Sun Yat-Sen University, training cohort; Department of Radiation Oncology, Wenzhou Medical College, validation cohort). To collect data for the nomogram development, an electronic survey form was designed to select patients and gather relevant information before study initiation. This analysis was approved by the Institutional Review Boards, with both participating sites providing the necessary institutional data use agreements (Sun Yat-Sen University and Wenzhou Medical College). Patients’ records were anonymized and de-identified prior to analysis. The following inclusion criteria were used for this study: histopathologically proven NPC, prior administration of IMRT with curative intention, no history of previous anticancer therapy and no history of other malignancies. The exclusion criteria were as follows: evidence of DM at diagnosis, prior administration of induction/adjuvant chemotherapy, prior administration of non-cisplatin concurrent chemotherapy and incomplete information for the follow-up. Pre-treatment staging procedures consistently included clinical history, physical examination, biochemical test, magnetic resonance imaging (MRI) or computer tomography (CT) scan of the head and neck, chest radiography, and ultrasonography of the abdominal region. Additional investigations were performed if indicated. Stage data was retrieved from the original chart reports and was unified to 2002 UICC staging system; in case of incomplete stage information, original images were retrieved and reviewed by our study radiation oncologists. The techniques of planning and delivery of IMRT used in the two cohorts were described previously [2,11]. The prescribed dose was 68–70 Gy/28-30 fractions to the gross target volume, 56–60 Gy/28-30 fractions to the high-risk clinical target volume and 45–54 Gy/23-30 fractions to the low-risk clinical target volume. At the beginning the use of IMRT and concurrent chemotherapy was not mandatory for local advanced NPC in both cancer center guidelines, provided that good local-regional control with IMRT alone and high toxicity incidence rates when RT was delivered with concurrent chemotherapy. With more and more evidence supported using concurrent chemotherapy for advanced NPC and acceptable toxicity profiles reported, this strategy was accepted gradually in clinical practice but often with a reduced dose of chemotherapy. Generally, concurrent chemotherapy was delivered with cisplatin alone (80 mg/m2/d on days 1 and 22 or 25 mg/m2/d weekly).

Statistical Analysis

The objective of this study was to define possible predictors of overall survival (OS) in NPC patients treated with IMRT, and to establish an effective prognostic nomogram. OS was estimated using the Kaplan-Meier method, and comparisons were assessed using the log-rank test. A multivariate Cox proportional hazards model was used to analyze the risk factors associated with OS. The variables used to construct the nomogram were selected a priori based on previous research and data availability; they included the gender, age, clinical tumor (T) stage, clinical nodal (N) stage, primary gross tumor volume (GTV) and administration of concurrent chemotherapy (yes/no) [22].The final model selection was performed using a backward step-down selection process with the Akaike information criterion [23] and the rms package in R version 3.0.1. Nomogram performance was measured using a concordance index (C-index), which can be applied to continuous outcome and censored data. The nomogramcalibrationwas assessed by plotting the observed rates against the nomogram-predicted probabilities. Bootstrap analyses with 1,000 resamples were used for these activities. The nomogram and UICC staging system were compared by evaluating the C-index. During the external validation of the nomogram, the survival probability of each patient in the validation cohort was calculated according to the established nomogram; these values were used to plot receiver operating characteristic (ROC) curves by SPSS 19.0 for Windows. In general, areas under the curve (AUC) of 0.7 to 0.8 represent reasonable discrimination [24].

Results

Nomogram Development

The clinical and treatment characteristics of patients in the training cohort (N = 533) are presented in Table 1. In total, 371 patients were classified as stage III/IV, of which 280 (76%) patients were administered concurrent chemotherapy. The median follow-up time was 84.2 months (range 4.2–141.8 months) for all patients; 382 (72%) patients had at least 5 years of follow-up time. Of the 533 patients, 35 (7%) and 84 (16%) patients experienced local-regional recurrence and DM, respectively. In addition, 118 (22%) patients died at last follow-up. The 3- and 5-year OS rates were 89.1% (95%CI 86.6–91.6%) and 81.7% (95%CI 78.4–85.0%), respectively.
Table 1

Clinical and treatment characteristics of NPC patients.

Characteristicsprimary cohort (N = 533)validation cohort (N = 442)
No. of patients%No. of patients%
Age(years)
Median (range)43(13–78)53(24–82)
Age≤median2805323954
Age<median2534720346
Sex
Male4117729467
Female1222314833
Stage
I336419
II1292413029
III2745217139
IV971810023
T stage
149910724
21863514032
32154011125
483168419
N stage
01593012328
11963717740
21633011326
3153296
Gross tumor volume(mm3)
Median (range)22.4 (1.1–205.5)25.7(0.7–182.7)
GTV≤median2675022250
GTV<median2665022050
concurrent chemotherapy
No2124039890
Yes321604410
Age, T stage, N stage and GTV were significantly associated with OS in Kaplan-Meier analyses (Fig 1); the use of concurrent chemotherapy exhibited a tread toward improved OS in the Kaplan-Meier analysis but had no significant effect on OS in multivariate analysis (Table 2). Given that patients with high T stages may exhibit a large GTV, the interaction between the T stage and GTV was analyzed using a Cox proportional hazards model; the results revealed a positive effect (P = 0.009). Therefore, the T stage was subcategorized according to 4 levels, and the interactions between the T stage and GTV are presented as four scale bars in the development of the nomogram for OS (Fig 2). Internal validation using bootstrapping revealed a C-index of 0.748 (95%CI 0.704–0.785), which was significantly increased compared with that of the 2002 UICC staging system (0.684; 95%CI 0.640–0.728, P<0.001). The 5-year probability of OS for the nomogram exhibited good model calibration with high correlations with the nomogram-predicted and observed probabilities of OS (Fig 3A).
Fig 1

Kaplan-Meier survival plots of overall survival stratified according to age (≤43 or >43 years), gender (male or female), T stage (1, 2, 3 or 4), N stage (0, 1, 2 or 3), gross tumor volume (GTV, ≤22.4 or >22.4 mm3) and concurrent chemotherapy (yes or no) for nasopharyngeal carcinoma patients treated with intensity-modulated radiation therapy in the training cohort (N = 533).

The log-rank test results for each comparison are provided.

Table 2

Multivariate analyses of overall survival with Cox proportional hazards model for patients with nasopharyngeal carcinoma in the training cohort (N = 533).

Multivariate analysis
P valueHR(95%CI)
Age<0.0011.034(1.018–1.051)
T stage0.0031.812(1.227–2.677)
N stage<0.0011.595(1.260–2.019)
GTV<0.0011.049(1.023–1.076)
T*GTV0.0090.990(0.983–0.998)
Concurrent chemotherapy0.3240.816(0.545–1.222)

Abbreviations: T stage, clinical tumor stage; N stage, clinical nodal stage; GTV, gross tumor volume; HR, hazard ratio.

Fig 2

The nomogram developed for the 5-year prediction of overall survival.

Point scores for gross tumor volume (GTV) were identified based on the T stage. To estimate risk, points for each variable were calculated by drawing a straight line from a patient’s variable value to the axis labeled “Points.” The score sum is converted to a probability in the lowest axis.

Fig 3

(A) Calibration curves for 5-year probabilities of overall survival in the training cohort of 533 patients and (B) the validation cohort of 442 patients.

Patients were grouped by quartiles of predicted risk. Nomogram-predicted probability is plotted on the x-axis; observed probability is plotted on the y-axis (Kaplan-Meier estimates). Vertical bars = 95% confidence index.

Kaplan-Meier survival plots of overall survival stratified according to age (≤43 or >43 years), gender (male or female), T stage (1, 2, 3 or 4), N stage (0, 1, 2 or 3), gross tumor volume (GTV, ≤22.4 or >22.4 mm3) and concurrent chemotherapy (yes or no) for nasopharyngeal carcinoma patients treated with intensity-modulated radiation therapy in the training cohort (N = 533).

The log-rank test results for each comparison are provided.

The nomogram developed for the 5-year prediction of overall survival.

Point scores for gross tumor volume (GTV) were identified based on the T stage. To estimate risk, points for each variable were calculated by drawing a straight line from a patient’s variable value to the axis labeled “Points.” The score sum is converted to a probability in the lowest axis.

(A) Calibration curves for 5-year probabilities of overall survival in the training cohort of 533 patients and (B) the validation cohort of 442 patients.

Patients were grouped by quartiles of predicted risk. Nomogram-predicted probability is plotted on the x-axis; observed probability is plotted on the y-axis (Kaplan-Meier estimates). Vertical bars = 95% confidence index. Abbreviations: T stage, clinical tumor stage; N stage, clinical nodal stage; GTV, gross tumor volume; HR, hazard ratio.

External Validation

The external validation cohort consisted of 442 patients (Table 1). Overall, patients with stage III/IV disease were less likely to be administered concurrent chemotherapy in the validation cohort (13%). The median follow-up time was 30.5 months (range 3.1–119.6 months) for all patients; 77(17%) patients had at least 5-year of follow-up time. Of the 442 patients with NPC, 24 (5%) and 54(12%) patients experienced local-regional recurrence and DM, respectively. In addition, 64 (15%) patients died at last follow-up. The 3- and 5-year OS rates were 85.3% (95%CI 81.4–89.2%) and 77.9% (95%CI 72.4–83.4%), respectively. ROC curves were generated to assess the discrimination of the nomogram in the external population. The overall predictive accuracy of the nomogram for 5-year OS as measured by the AUC was 0.784 (95%CI 0.704–0.865), which was significantly increased compared with that of the 2002 UICC staging system (0.721; 95%CI 0.622–0.820, P = 0.026). The actual 5-year OS was also plotted against the calculated predicted 5-year probabilities of OS for each patient; this alignment exhibited good calibration for the events (Fig 3B).

Discussion

In this study, we evaluated several prognostic factors of NPC in patients treated with IMRT, and then developed an OS prediction model that can provide individual estimations of treatment outcome in this population, which outperformed the conventional risk model (TNM staging system). An external cohort was used to validate the developed nomogram, revealing a good ability to discriminate OS outcomes. The nomogram developed here does not specifically provide a treatment decision; it simply provides a means to evaluate individual patient outcomes after IMRT. The current staging system used for NPC is the seventh edition of the UICC/AJCC TNM staging system [25], an obvious limitation of which, is that it excludes the important prognostic factor of tumor burden. Recently published data demonstrated that NPC primary tumor volume is an independent prognostic indicator for treatment outcome in patients treated with IMRT; these studies suggested that the incorporation of GTV into the NPC clinical staging system could provide more information to adjust the treatment strategy [26-29]. In this study, we also noted that large tumors were significantly associated with treatment outcomes and that the incorporation of tumor volume into the TMN staging system significantly improved the ability to identify patients with a poor prognosis. A larger tumor volume often signifies an increased number of clonogenic tumor cells as well as radiotherapy resistance associated with tumor hypoxia; in contrast, the clinical T stage appears more likely to signify the capacity of the tumor to infiltrate the surrounding tissue [30]. These two factors represent different biological characteristics of the tumor. Therefore, the T stage in combination with the tumor volume can better predict OS; both of these factors were incorporated in the final nomogram. As presented in Fig 1, GTV exhibited a greater effect in the T1 stage compared with the T4 stage, indicating that the prognosis of patients with a low T stage was mainly dependent on the tumor volume. A meta-analysis of chemotherapy in NPC studies, including eight randomized clinical trials, indicated that the addition of chemotherapy improved the absolute OS benefit by 6% in five years [12]. Neither induction nor adjuvant chemotherapy improved OS compared with RT alone; the reduced risk of death was mainly attributed to the administration of concurrent chemotherapy by the mechanism of radiosensitization. With the emergence of new RT techniques (IMRT) and more advanced imaging equipment, high local-regional control has been obtained; thus, the value of concurrent chemotherapy still faces substantial uncertainty and challenges. In the Hong Kong study NPC 9901 [31], patients with regionally advanced NPC in the control arm were administered RT alone (half of the patients were administered 3-DCRT) and achieved a 3-year OS rate of 78%. This result was comparable to the concurrent chemotherapy arm, indicating that the survival benefit from chemotherapy confirmed in a two-dimensional era could be considered as compensation for poor RT delivery. In this study, no positive correlation between concurrent chemotherapy and OS was observed. The chemotherapy doses employed in this study appeared to be lower than standard cisplatin doses used in other phase III clinical trials in NPC [31]. In china, such an approach is often used in clinical practice, with the concern of patient’s physical constitution and compliance to chemoradiotherapy in Eastern population. The lower dose of cisplatin utilized in this study should also be considered as a potential confusing factor for the negative correlation between concurrent chemotherapy and OS. The role of concurrent CT in the era of IMRT requires further testing in the future. This study was performed using retrospective data and treatment was not assigned in a randomized fashion. To reduce the impact of various regimens and cycles of introduction or adjuvant chemotherapy on OS predictions, only patients administered concurrent cisplatin alone chemotherapy were included in this study. The 3-year OS rates were 89.1% and 85.3% for the training cohort and validation cohort, respectively; these results are comparable to the results of 83–94% reported in a recent series using IMRT with or without induction or adjuvant chemotherapy [3,4,8,9]. Moreover, only 13% of the patients with stage III/IV disease were administered concurrent chemotherapy in the validation cohort however, this regimen did not lead to inferior local control or a poor prognosis. This finding indicated that the positive outcomes of patients exclusively treated with IMRT maybe attributed to more modern and aggressive radiation techniques, which potentially negated the benefit from concurrent chemotherapy. NPC populations in endemic areas exhibit different racial compositions, histological subtypes and other potential etiological factors compared with NPC populations in the West. SEER data analysis indicates that racial differences exist among NPC patients in the U.S. and that Asians exhibit the best 5-year survival rates after stratification according to stage and histologic type [32]. Non-keratinizing type tumors predominate the NPC population in southern China, and these lesions are generally associated with Epstein–Barr virus (EBV) positivity and a favorable prognosis [33].Therefore, the generalizability of the nomogram developed in this study is limited; it can be used for patient-clinician communication and therapeutic advice in Asian endemic areas. Whether it can be applied to Western populations and patients with keratinizing type tumors remains to be determined. The strength of the nomogram development included the number of patients involved, the length of follow-up and the 5-year results comparable to contemporary series. A limitation of the study was that T and N stage of 6th instead of 7th UICC staging system were used to construct the nomogram. Main changes in the new staging system are: 1) T2a lesions are now designated as T1; 2) retropharyngeal lymph nodes are considered N1. In our nomogram, T1 and T2 axis had a similar scale; N0 and N1 had a close point. Such changes of T and N staging shifting may cause slight variations when converting to total points and then the probability of 5-year survival rate. Introducing molecular markers of tumor biology in NPC may further enhance the performance of the nomogram. Plasma/serum EBV DNA level was found to be useful in the clinical management of NPC patients [34] however, several problems related to quantifying the EBV DNA load need to be resolved before clinical application, including the optimal detection method, the right sampling time and the reasonable cut-off value. In conclusion, the nomogram proposed in this study accurately predicted the prognosis for NPC patients treated with IMRT with or without concurrent chemotherapy; this individualized information will aid in patient counseling and may be used for de-escalation trials in the future. Additional studies are required to determine whether the nomogram can be applied to other patient groups.
  33 in total

Review 1.  Principles and practical application of the receiver-operating characteristic analysis for diagnostic tests.

Authors:  M Greiner; D Pfeiffer; R D Smith
Journal:  Prev Vet Med       Date:  2000-05-30       Impact factor: 2.670

Review 2.  Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors.

Authors:  F E Harrell; K L Lee; D B Mark
Journal:  Stat Med       Date:  1996-02-28       Impact factor: 2.373

3.  Intensity-modulated radiotherapy in the treatment of nasopharyngeal carcinoma: an update of the UCSF experience.

Authors:  Nancy Lee; Ping Xia; Jeanne M Quivey; Khalil Sultanem; Ian Poon; Clayton Akazawa; Pam Akazawa; Vivian Weinberg; Karen K Fu
Journal:  Int J Radiat Oncol Biol Phys       Date:  2002-05-01       Impact factor: 7.038

4.  Externally validated HPV-based prognostic nomogram for oropharyngeal carcinoma patients yields more accurate predictions than TNM staging.

Authors:  Emmanuel Rios Velazquez; Frank Hoebers; Hugo J W L Aerts; Michelle M Rietbergen; Ruud H Brakenhoff; René C Leemans; Ernst-Jan Speel; Jos Straetmans; Bernd Kremer; Philippe Lambin
Journal:  Radiother Oncol       Date:  2014-10-24       Impact factor: 6.280

5.  Preliminary results of a randomized study on therapeutic gain by concurrent chemotherapy for regionally-advanced nasopharyngeal carcinoma: NPC-9901 Trial by the Hong Kong Nasopharyngeal Cancer Study Group.

Authors:  Anne W M Lee; W H Lau; Stewart Y Tung; Daniel T T Chua; Rick Chappell; L Xu; Lillian Siu; W M Sze; T W Leung; Jonathan S T Sham; Roger K C Ngan; Stephen C K Law; T K Yau; Joseph S K Au; Brian O'Sullivan; Ellie S Y Pang; S K O; Gordon K H Au; Joseph T Lau
Journal:  J Clin Oncol       Date:  2005-10-01       Impact factor: 44.544

6.  Treatment of nasopharyngeal carcinoma with intensity-modulated radiotherapy: the Hong Kong experience.

Authors:  Michael K M Kam; Peter M L Teo; Ricky M C Chau; K Y Cheung; Peter H K Choi; W H Kwan; S F Leung; Benny Zee; Anthony T C Chan
Journal:  Int J Radiat Oncol Biol Phys       Date:  2004-12-01       Impact factor: 7.038

7.  The National Cancer Data Base report on the relationship of race and national origin to the histology of nasopharyngeal carcinoma.

Authors:  J E Marks; J L Phillips; H R Menck
Journal:  Cancer       Date:  1998-08-01       Impact factor: 6.860

8.  Concurrent and adjuvant chemotherapy for nasopharyngeal carcinoma: a factorial study.

Authors:  Dora L W Kwong; Jonathan S T Sham; Gordon K H Au; Daniel T T Chua; Philip W K Kwong; Ashley C K Cheng; P M Wu; Martin W M Law; Carol C H Kwok; C C Yau; K Y Wan; Raymond T T Chan; Damon D K Choy
Journal:  J Clin Oncol       Date:  2004-07-01       Impact factor: 44.544

9.  The tumor volume and clonogen number relationship: tumor control predictions based upon tumor volume estimates derived from computed tomography.

Authors:  C R Johnson; H D Thames; D T Huang; R K Schmidt-Ullrich
Journal:  Int J Radiat Oncol Biol Phys       Date:  1995-09-30       Impact factor: 7.038

10.  The additional value of chemotherapy to radiotherapy in locally advanced nasopharyngeal carcinoma: a meta-analysis of the published literature.

Authors:  J A Langendijk; C R Leemans; J Buter; J Berkhof; B J Slotman
Journal:  J Clin Oncol       Date:  2004-11-15       Impact factor: 44.544

View more
  10 in total

1.  Prognostic nomogram for refining the prognostication of the proposed 8th edition of the AJCC/UICC staging system for nasopharyngeal cancer in the era of intensity-modulated radiotherapy.

Authors:  Jian Ji Pan; Wai Tong Ng; Jing Feng Zong; Sarah W M Lee; Horace C W Choi; Lucy L K Chan; Shao Jun Lin; Qiao Juan Guo; Henry C K Sze; Yun Bin Chen; You Ping Xiao; Wai Kuen Kan; Brian O'Sullivan; Wei Xu; Quynh Thu Le; Christine M Glastonbury; A Dimitrios Colevas; Randal S Weber; William Lydiatt; Jatin P Shah; Anne W M Lee
Journal:  Cancer       Date:  2016-07-19       Impact factor: 6.860

2.  A Radiomics Nomogram for Non-Invasive Prediction of Progression-Free Survival in Esophageal Squamous Cell Carcinoma.

Authors:  Ting Yan; Lili Liu; Zhenpeng Yan; Meilan Peng; Qingyu Wang; Shan Zhang; Lu Wang; Xiaofei Zhuang; Huijuan Liu; Yanchun Ma; Bin Wang; Yongping Cui
Journal:  Front Comput Neurosci       Date:  2022-05-16       Impact factor: 3.387

3.  A Model Combining Skeletal Muscle Mass and a Hematological Biomarker to Predict Survival in Patients With Nasopharyngeal Carcinoma Undergoing Concurrent Chemoradiotherapy.

Authors:  Han-Ying Huang; Fei Lin; Xiao-Yu Chen; Wen Wen; Shuang-Yan Xie; Zhi-Qing Long; Ling Guo; Huan-Xin Lin
Journal:  Front Oncol       Date:  2021-05-18       Impact factor: 6.244

4.  Loss of AKR1C1 is a good prognostic factor in advanced NPC cases and increases chemosensitivity to cisplatin in NPC cells.

Authors:  Chen Zhou; Guowen Shen; Fan Yang; Jingling Duan; Zhen Wu; Mingqing Yang; Yi Liu; Xueli Du; Xiaoling Zhang; Shengjun Xiao
Journal:  J Cell Mol Med       Date:  2020-04-19       Impact factor: 5.310

5.  Third Epidemiological Analysis of Nasopharyngeal Carcinoma in the Central Region of Japan from 2006 to 2015.

Authors:  Masafumi Kanno; Norihiko Narita; Yasushi Fujimoto; Naohiro Wakisaka; Tomokazu Yoshizaki; Takeshi Kodaira; Chiyoko Makita; Yuichiro Sato; Keisuke Yamazaki; Takanori Wakaoka; Yuzo Shimode; Hiroyuki Tsuji; Ryosuke Kito; Hajime Ishinaga; Seiji Hosokawa; Hiromasa Takakura; Kunihiro Nishimura; Takuma Matoba; Shigeharu Fujieda
Journal:  Cancers (Basel)       Date:  2019-08-15       Impact factor: 6.639

6.  Contrast-enhanced Ultrasound in evaluating of angiogenesis and tumor staging of nasopharyngeal carcinoma in nude mice.

Authors:  ShouJun Liang; Yong Gao; YaoLi Liu; ChengCheng Qiu; YanHao Chen; ShangYong Zhu
Journal:  PLoS One       Date:  2019-08-23       Impact factor: 3.240

7.  The prognostic significance of race in nasopharyngeal carcinoma by histological subtype.

Authors:  Katelyn O Stepan; Angela L Mazul; S Andrew Skillington; Randal C Paniello; Jason T Rich; Jose P Zevallos; Ryan S Jackson; Patrik Pipkorn; Sean Massa; Sidharth V Puram
Journal:  Head Neck       Date:  2021-02-23       Impact factor: 3.821

8.  Machine Learning Analysis of Image Data Based on Detailed MR Image Reports for Nasopharyngeal Carcinoma Prognosis.

Authors:  Chunyan Cui; Shunxin Wang; Jian Zhou; Annan Dong; Fei Xie; Haojiang Li; Lizhi Liu
Journal:  Biomed Res Int       Date:  2020-02-21       Impact factor: 3.411

9.  Prognostic Nomogram For Locoregionally Advanced Nasopharyngeal Carcinoma.

Authors:  Yanming Jiang; Song Qu; Xinbin Pan; Shiting Huang; Xiaodong Zhu
Journal:  Sci Rep       Date:  2020-01-21       Impact factor: 4.379

10.  Development and Validation of Prognostic Nomograms Based on Gross Tumor Volume and Cervical Nodal Volume for Nasopharyngeal Carcinoma Patients With Concurrent Chemoradiotherapy.

Authors:  Cui-Dai Zhang; Mei Li; Ying-Ji Hong; Ze-Man Cai; Kai-Chun Huang; Zhi-Xiong Lin; Zhi-Ning Yang
Journal:  Front Oncol       Date:  2021-06-28       Impact factor: 6.244

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.